{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import matplotlib.pyplot as plt\n",
    "import random\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#测试数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2, 3, 4, 5, 6, 7, 8, 9]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start =2 \n",
    "end =10\n",
    "l = list(range(start, end, 1))\n",
    "l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t = random.choice(l)\n",
    "t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#算法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#二分\n",
    "def algorithm1(nums, target):\n",
    "    left = 0\n",
    "    right = len(nums) - 1\n",
    "    while left <= right:\n",
    "        middle = int((left + right)/2)\n",
    "        if target < nums[middle]:\n",
    "            right = middle - 1\n",
    "        elif target > nums[middle]:\n",
    "            left = middle + 1\n",
    "        else:\n",
    "            return middle\n",
    "    return -1\n",
    "#暴力拆解\n",
    "def algorithm2(nums, target):\n",
    "    for i in range(len(nums)):\n",
    "        if nums[i] == target:\n",
    "            return i\n",
    "    return -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "algorithm1(l, t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start_length_nums =2 \n",
    "end_length_nums =1000\n",
    "length_nums = list(range(start_length_nums, end_length_nums, 10))\n",
    "len(length_nums)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#时间复杂度计算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def measure(algorithm, length_nums):\n",
    "    trial_nums = 20\n",
    "    \n",
    "    time_list = []\n",
    "    for length in length_nums:\n",
    "        nums = list(range(length))\n",
    "        total_time = 0\n",
    "        for _ in range(trial_nums):\n",
    "            target = random.choice(nums)\n",
    "            start_time = time.perf_counter() \n",
    "            algorithm(nums, target)\n",
    "            end_time = time.perf_counter() \n",
    "            total_time += end_time - start_time\n",
    "        avg_time = total_time / trial_nums\n",
    "        time_list.append(avg_time)\n",
    "    return time_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#时间复杂度O（n）\n",
    "o_n = [0.3*num/10000000 for num in length_nums]\n",
    "#时间复杂度O（logn）\n",
    "o_log = [math.log(num)/10000000 for num in length_nums]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制时间复杂度图\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(length_nums, measure(algorithm1, length_nums), label='Algorithm 1 - Time')\n",
    "plt.plot(length_nums, measure(algorithm2, length_nums), label='Algorithm 2 - Time')\n",
    "plt.plot(length_nums, o_n, label='O(n)')\n",
    "plt.plot(length_nums, o_log, label='O(logn)')\n",
    "plt.xlabel('Sequence Length')\n",
    "plt.ylabel('Time (seconds)')\n",
    "plt.title('Time Complexity')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
